Onboard Software Engineer
Posted Updated
Summary
Develops C++ software for embedded Linux systems on drones and ground assets, owning safety-critical subsystems end-to-end from simulation through flight test and fleet deployment to enable autonomous BVLOS missions.
- We’re seeking an Onboard Software Engineer to develop the software that runs on our aircraft and ground assets
- Working primarily in C++ on embedded Linux, you’ll build and harden the safety-critical subsystems that allow our drones to fly autonomous Beyond-Visual-Line-of-Sight (BVLOS) missions across varied environments, from open airspace to dense urban areas
- You’ll own features and subsystems end to end, drive them through simulation and flight test, and work alongside senior engineers and teams across the company to validate and support them in the field
- Develop and own onboard features and subsystems that enhance our UAS capabilities and safety mitigations
- Build the systems that allow aircraft to fly autonomously in demanding environments, including dense urban airspaces
- Deliver customer-facing features on flight and ground assets, while balancing performance, safety, and reliability
- Verify and release software, from simulation and flight test to deployment across production fleets
- Triage and solve field and flight-test issues, and drive fixes through to the fleet
- Collaborate with stakeholders within Engineering, Operations, Safety, and Production
- Strong proficiency in C++ (C++11 and later), multithreading, and real-time messaging
- Proficiency with version control and peer code review workflows (e.g., Git)
- Experience implementing native software and validating it in simulation and on hardware
- Solid Linux background and experience with cross-compiling
- Clear technical communication and strong cross-disciplinary teamwork in a fast-paced environment
- Solid applied math skills (geometry, coordinate transforms, kinematics) for navigation and avoidance
- 3+ years of production software engineering, including owning features or subsystems end to end
- Experience with Python, YAML, and other scripting tools
- UAV, autonomous robotics, aerospace, or other safety-critical regulated experience
- Experience using AI coding assistants to accelerate development
- Familiarity with an autopilot stack such as ArduPilot or PX4
- Experience with computer vision and perception (OpenCV or similar) and sensor integration
- Experience with Docker and containerized build, test, and development environments
- Experience with distributed systems, networking, and fleet management
- Relevant mechanical, aerospace, or electrical engineering experience